"excel" matching MCP servers:

An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.

Enables querying Excel and CSV files using SQL via natural language, allowing AI assistants to analyze data without manual SQL writing.

An MCP server for safe .xlsx inspection and controlled workbook writes, enabling spreadsheet reads, search, filtering, aggregation, and preview-based writes with workspace confinement and audit logging.

MCP server for reading and inspecting local Excel files (.xlsx, .xlsm, .xls, .xlsb, .ods) with tools for inspecting metadata, reading ranges, and profiling structure.

MCP server for reading Excel files (.xlsx, .xls) without requiring an API key. It returns row/column counts, column names, and a preview of the first five rows via the read_excel tool.

Enables AI assistants to read WeCom online spreadsheets (read-only) from a shared link, listing worksheets and data ranges, reading text, formatting, and cell images, and searching sheet contents using each caller's own login cookie.

An MCP server that lets LLMs explore Excel workbooks by reading cells, ranges, and evaluating formulas with live computed values via HyperFormula.

Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Excel Power Pivot data models. Create and manage DAX measures, relationships, and more through natural language.

This read-only MCP Server allows you to connect to Excel Online data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This read-only MCP Server allows you to connect to SharePoint Excel Services data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SharePoint Excel Services (https://www.cdata.com/drivers/excelservices/download/mcp).

A Model Context Protocol server that gives AI agents real-time access to Excel workbooks in OneDrive, answering natural-language questions with live data. It caches only sheet structure, never cell values, and fetches current ranges via Microsoft Graph for each query.

Local-first Excel MCP server for AI agents enabling structured reads, workbook introspection, and safer .xlsx mutation without Microsoft Excel or LibreOffice.

Enables AI agents to query Excel, CSV, Parquet, and NDJSON files as SQL tables, joining data across formats and sheets and exporting results to CSV or Excel.

MCP server that turns Excel files into queryable databases, enabling AI agents to filter, aggregate, group, sort data and export results as new Excel files.

Enables read-only SQL querying and exploration of data files (CSV, Parquet, JSON, Excel, etc.) via DuckDB, supporting local paths, globs, URLs, and S3 buckets.

Enables natural-language querying of large Excel, Access, and Parquet datasets, returning executed SQL with results for verification. Exposes tools for status checking, table listing, and asking questions through MCP.

Read-only, PII-masked MCP server for querying data federated through DuckDB — list sources/tables, inspect schemas, and run SQL across Postgres, MySQL, SQLite, Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract. Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

Enables read-only profiling, comparison, total reconciliation, and formula integrity review of local Excel .xlsx and CSV files within a configured workspace, without modifying files or executing formulas.

Enables an AI assistant to read form structures and submissions from a Coletum account (read-only) and to produce Excel/CSV exports, Coletum-style or user-template PDFs, and photographic reports on request. It also stores preferences such as logo and company name and reports where each generated file was saved.

Keeps your job-application tracker in Excel, CSV or Google Sheets: follow-ups by your own rule, stale applications, funnel and reply times. Every write is previewed, confirmed, backed up and undoable.

Enables WorkBuddy to analyze local CSV and Excel files through AVA, loading data sources, inspecting schemas, running read-only SQL queries, managing business definitions, and rendering verified results as interactive HTML charts with saved artifacts. It also checks the runtime environment and runs a built-in sample demo so users can verify totals, per-dimension contributions, and the queries behind each conclusion.

Offline MCP server that queries CSV, Parquet, Excel, and JSON files and generates self-contained interactive HTML reports with reproducible provenance. Built and maintained by an AI agent.

Wraps the CourtListener API for real-time federal docket monitoring, with pluggable client-list connectors (SharePoint, Excel, webhook) and tools for docket monitoring and client matching via elicitation.

Provides AI assistants with unified file operations via MCP, supporting Excel, PDF, Word, and SQLite file reading, writing, and querying.

MCP server for tabular data retrieval that indexes local CSV, Excel, Parquet, and JSONL files once and answers questions via column profiles, filtered rows, server-side aggregations, and joins, drastically reducing token usage for large datasets.

Your coding agent answers with dashboards, not paragraphs. An MCP server for Claude Code, Codex, Cursor, Gemini CLI and more: charts and tables from read-only SQL on Postgres, SQLite, Excel or CSV, in your browser, your app or a terminal pane. 2.7× cheaper than Claude Code making the charts itself.

Lets Claude search the WRDS catalog, check which datasets and years are available, and run read-only SQL queries or export results to CSV, Parquet, or Excel. Enforces the WRDS AI policy by restricting row-level queries to AI-allowed sources and returning only metadata and counts for other libraries.

Minimal FastMCP server that lists worksheet names, IDs, and visibility from a SharePoint Excel workbook via Microsoft Graph.

Enables CRUD operations and search on an Excel-backed product catalog, allowing users to list, search, add, update, and delete products.

Enables Claude to perform read-only SAP S/4HANA table reads, in-SAP finance calculations, SAP GUI report exports to Excel, and document attachment retrieval for finance workflows.

Enables SQL querying over CSV and Excel files using DuckDB, providing tools to load files, inspect schemas, and run read-only queries via MCP.

A Claude integration that enables updating various database types (PostgreSQL, MySQL, MongoDB, SQLite) from CSV and Excel files through natural language commands.

Local-first MCP server for Power BI Desktop automation. Automate semantic model changes, DAX, Power Query, Excel, and report layout from MCP-capable AI clients.

Enables LLMs to access, analyze, and extract information from STDF-V4 semiconductor test data files, supporting metadata extraction, parametric analysis, yield calculations, and multi-site test data filtering with CSV/Excel export capabilities.

Enables Claude to run SQL queries against Infor Compass (Data Fabric) directly from chat, with automatic export of large result sets to Excel.

Enables LLM agents to load, explore, and analyze CSV and Excel files using DuckDB, with tools for SQL querying, statistical analysis, expense optimization, and anomaly detection.

Enables read-only access to geotechnical investigation project databases and official standard data interface files from AI workflows, supporting project summaries, borehole lists, arbitrary table queries, and interface file generation, parsing and validation. It also recognizes Excel result tables such as exploration point schedules and dynamic penetration test statistics, converting them into normalized records.

Enables AI assistants to perform statistical analysis on MySQL databases, generating formatted Excel reports with t-tests and effect sizes, and creating thesis-quality Word documents with AI-powered insights.